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TILED DATA RECONSTRUCTION AND CORRECTION

This document explores the methodologies and techniques for tiled data reconstruction and image stitching, focusing on achieving seamless alignment of image sequences. Key methods employed include grid stitching and linear blending. Image acquisition is discussed in the context of retrieving images followed by processing them through sliding and identifying optimal cross-correlation points for alignment. The practical implementation of linear blending is demonstrated using sample outputs from the Drosophila larval nervous system. The document concludes with references for further reading.

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TILED DATA RECONSTRUCTION AND CORRECTION

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  1. TILED DATA RECONSTRUCTION AND CORRECTION -MadhumithaReddy -SuprajaReddy -Dinesh Kumar Reddy

  2. Stitch and align sequence of images. • Techniques used: Grid stitching Linear blending INTRODUCTION

  3. Using Tilen

  4. Image Processing Methodology ->Image acquisition Process of retrieving images. ->Image stitching Stitching is performed by sliding the new image over the composite image and finding the best cross-correlation point. IMPLEMENTATION

  5. Image Merging using linear blending • Linear blend operator g(x)=(1-n) f0(x)+nf1(x) IMPLEMENTATION

  6. SAMPLE OUTPUT

  7. Drosophila larval nervous system Drosophila melanogaster pupae EXPERIMENTAL RESULTS

  8. http://fly.mpi-cbg.de/~preibisch/stitching.html • http://fiji.sc/Stitching_2D/3D#Stitch_Grid_of_Images • https://github.com/search?q=stitching+images+using+imagej&type=Code&ref=searchresults • http://www.lmsc.ethz.ch/Teaching/ipss_2010/TM_3_Olaf REFERENCES

  9. THANK YOU …

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